Triple
T4562161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinheim am Albuch |
E121816
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Neuselhalden
Neuselhalden is a locality or district that forms part of the municipality of Steinheim am Albuch in the German state of Baden-Württemberg.
|
E464993
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Neuselhalden | Statement: [Steinheim am Albuch, hasSubdivision, Neuselhalden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuselhalden Context triple: [Steinheim am Albuch, hasSubdivision, Neuselhalden]
-
A.
Neudorf
Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
-
B.
Naunhof
Naunhof is a small town in the Free State of Saxony in eastern Germany, known for its surrounding lakes and forests near the city of Leipzig.
-
C.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
D.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
E.
Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Neuselhalden Triple: [Steinheim am Albuch, hasSubdivision, Neuselhalden]
Generated description
Neuselhalden is a locality or district that forms part of the municipality of Steinheim am Albuch in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neuselhalden Target entity description: Neuselhalden is a locality or district that forms part of the municipality of Steinheim am Albuch in the German state of Baden-Württemberg.
-
A.
Neudorf
Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
-
B.
Naunhof
Naunhof is a small town in the Free State of Saxony in eastern Germany, known for its surrounding lakes and forests near the city of Leipzig.
-
C.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
D.
Teutschenthal
Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
-
E.
Bernlohe
Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd582f21648190b49284eb61b618c9 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be101bf95881908242672ab60e873f |
completed | March 21, 2026, 3:27 a.m. |
| NEDg | Description generation | batch_69be1571333881908355cdbc979a4fee |
completed | March 21, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be15c3e4648190a8c29306261ad5c7 |
completed | March 21, 2026, 3:51 a.m. |
Created at: March 20, 2026, 1:09 p.m.